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Mikhail Gerasimenko

Researcher at Tampere University of Technology

Publications -  39
Citations -  1630

Mikhail Gerasimenko is an academic researcher from Tampere University of Technology. The author has contributed to research in topics: Heterogeneous network & Cellular network. The author has an hindex of 18, co-authored 38 publications receiving 1343 citations. Previous affiliations of Mikhail Gerasimenko include Intel.

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Journal ArticleDOI

Understanding the IoT connectivity landscape: a contemporary M2M radio technology roadmap

TL;DR: In this paper, the authors comprehensively review the most prominent existing and novel M2M radio technologies, as well as share their first-hand real-world deployment experiences, with the goal to provide a unified insight into enabling machine-to-machine architectures, unique technology features, expected performance, and related standardization developments.
Proceedings ArticleDOI

Analysis of human-body blockage in urban millimeter-wave cellular communications

TL;DR: In this paper, the authors proposed a tractable model for characterizing the blocking caused by humans to mmWave propagation as a function of system parameters like transmitter-receiver locations and dimensions, as well as density and dimensions of humans.
Posted Content

Analysis of Human-Body Blockage in Urban Millimeter-Wave Cellular Communications

TL;DR: This paper proposes a novel, general, and tractable model for characterizing the blocking caused by humans to mmWave propagation as a function of system parameters like transmitter-receiver locations and dimensions, as well as density and dimensions of humans.
Journal ArticleDOI

On the Temporal Effects of Mobile Blockers in Urban Millimeter-Wave Cellular Scenarios

TL;DR: In this article, a new model for predicting the state of a user in the presence of mobile blockers for representative 3GPP scenarios is developed: Urban micro cell street canyon and park/stadium/square.
Journal ArticleDOI

Intelligent access network selection in converged multi-radio heterogeneous networks

TL;DR: Major challenges in delivering uniform connectivity and service experience to converged multiradio heterogeneous deployments are reviewed and novel analytical space-time methodology for assisted network selection capturing user traffic dynamics together with spatial randomness of multi-radio heterogeneous networks is proposed.